MSc Engineering Mathematics
Overview
Engineering mathematics is the art of applying mathematical and engineering principles to complex, real-world problems across areas as wide-ranging as artificial intelligence, ecology, medicine, physics, social media and sustainability.
For this MSc, you will be fully embedded within an engineering faculty, benefitting from unrivalled access to a broad range of industrial collaborations and pioneering research.
Spanning engineering, mathematics and computer science, this programme would suit graduates from any related discipline who would like to become versatile at solving multidisciplinary challenges.
Graduates will be well placed to meet the increasing demand from the industrial, government and service sectors for maths-savvy graduates who can work across traditional boundaries and drive high-tech innovation. From designing Formula One cars, to biomedicine and developing renewable energy technologies, our engineering graduates go on to a wide range of exciting careers.
Visit the Department of Engineering Mathematics website to learn more about the MSc in Engineering Mathematics.
Programme structure
Taught units are organised around three key strands: engineering, computational science and mathematical and statistical training. We tailor to the needs of the student, as each strand is agreed based on previous experience and prior learning. Appropriate units are aligned with each strand. In addition, there are cross-references throughout the three stands to ensure that all graduates obtain a uniform level of background knowledge and appropriate specialisation.
Real-world problem solving is integral to each unit and spans many different application areas - from robotics and social media to medicine and environmental modelling. These problems are sourced from our industrial collaborators or address challenges in current research.
Having successfully completed the taught units, you will prepare a 60-credit MSc thesis during the summer term, to be submitted at the end of the academic year.
Visit our programme catalogue for full details of the structure and unit content for our MSc in Engineering Mathematics.
Entry requirements
An upper second-class honours degree (or international equivalent) in an engineering discipline, computer science, mathematics or a closely related field.
See international equivalent qualifications on the International Office website.
Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.
If English is not your first language, you will need to reach the requirements outlined in our profile level E.
Further information about English language requirements and profile levels.
Fees and funding
- UK: full-time
- £13,000 per year
- UK: part-time (two years)
- £6,500 per year
- Overseas: full-time
- £27,200 per year
Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.
More about tuition fees, living costs and financial support.
Alumni discount
University of Bristol students and graduates can benefit from a 25% reduction in tuition fees for postgraduate study. Check your eligibility for an alumni discount.
Funding for 2023/24
Further information on funding for prospective UK and international postgraduate students.
Career prospects
This programme provides a highly creative, challenging and enjoyable experience, which will be excellent preparation for your future career. It will give you the tools to be successful in a variety of careers, many of which enable you to apply your knowledge and skills.
Our extensive connections with industry, through collaborative research and consultancy, make the MSc in Engineering Mathematics very relevant professionally. Many graduates from this department have gone on to work for companies that recruit mathematicians as well as engineers, such as Airbus, Goldman Sachs and Red Bull Racing.
Contact us
- Contact
- Enquiries Team
- Phone
- +44 (0) 117 394 1649
- choosebristol-pg@bristol.ac.uk